Artikler med mandater om offentlig tilgang - Joris M. MooijLes mer
Tilgjengelige et eller annet sted: 32
Causal effect inference with deep latent-variable models
C Louizos, U Shalit, JM Mooij, D Sontag, R Zemel, M Welling
Advances in neural information processing systems 30, 2017
Mandater: Netherlands Organisation for Scientific Research, European Commission
Causal discovery with continuous additive noise models
J Peters, JM Mooij, D Janzing, B Schölkopf
The Journal of Machine Learning Research 15 (1), 2009-2053, 2014
Mandater: Research Foundation (Flanders), European Commission
Distinguishing cause from effect using observational data: methods and benchmarks
JM Mooij, J Peters, D Janzing, J Zscheischler, B Schölkopf
Journal of Machine Learning Research 17 (32), 1-102, 2016
Mandater: Netherlands Organisation for Scientific Research
Information-geometric approach to inferring causal directions
D Janzing, J Mooij, K Zhang, J Lemeire, J Zscheischler, P Daniušis, ...
Artificial Intelligence 182, 1-31, 2012
Mandater: German Research Foundation
Joint causal inference from multiple contexts
JM Mooij, S Magliacane, T Claassen
Journal of machine learning research 21 (99), 1-108, 2020
Mandater: Netherlands Organisation for Scientific Research
Domain adaptation by using causal inference to predict invariant conditional distributions
S Magliacane, T van Ommen, T Claassen, S Bongers, P Versteeg, ...
Advances in Neural Information Processing Systems, 10846-10856, 2018
Mandater: Netherlands Organisation for Scientific Research, European Commission
Foundations of structural causal models with cycles and latent variables
S Bongers, P Forré, J Peters, JM Mooij
The Annals of Statistics 49 (5), 2885-2915, 2021
Mandater: Villum Foundation, Netherlands Organisation for Scientific Research …
Methods for causal inference from gene perturbation experiments and validation
N Meinshausen, A Hauser, JM Mooij, J Peters, P Versteeg, P Bühlmann
Proceedings of the National Academy of Sciences 113 (27), 7361-7368, 2016
Mandater: Netherlands Organisation for Scientific Research
On causal discovery with cyclic additive noise models
JM Mooij, D Janzing, T Heskes, B Schölkopf
Advances in Neural Information Processing Systems (NIPS*2011), 639-647, 2011
Mandater: German Research Foundation
Ancestral causal inference
S Magliacane, T Claassen, JM Mooij
Advances in Neural Information Processing Systems 29, 2016
Mandater: Netherlands Organisation for Scientific Research
Constraint-based causal discovery using partial ancestral graphs in the presence of cycles
JM Mooij, T Claassen
Conference on Uncertainty in Artificial Intelligence, 1159-1168, 2020
Mandater: European Commission
Beyond structural causal models: Causal constraints models
T Blom, S Bongers, JM Mooij
Uncertainty in Artificial Intelligence, 585-594, 2020
Mandater: Netherlands Organisation for Scientific Research, European Commission
Causal calculus in the presence of cycles, latent confounders and selection bias
P Forré, JM Mooij
Uncertainty in Artificial Intelligence, 71-80, 2020
Mandater: European Commission
From random differential equations to structural causal models: The stochastic case
S Bongers, JM Mooij
arXiv preprint arXiv:1803.08784 3, 2018
Mandater: Netherlands Organisation for Scientific Research
Causal bandits without prior knowledge using separating sets
A De Kroon, J Mooij, D Belgrave
Conference on Causal Learning and Reasoning, 407-427, 2022
Mandater: European Commission
A weaker faithfulness assumption based on triple interactions
A Marx, A Gretton, JM Mooij
Uncertainty in artificial intelligence, 451-460, 2021
Mandater: European Commission
Theoretical aspects of cyclic structural causal models
S Bongers, J Peters, B Schölkopf, JM Mooij
arXiv preprint arXiv:1611.06221, 3, 2016
Mandater: Netherlands Organisation for Scientific Research, European Commission
Local constraint-based causal discovery under selection bias
P Versteeg, J Mooij, C Zhang
Conference on Causal Learning and Reasoning, 840-860, 2022
Mandater: Netherlands Organisation for Scientific Research
Causal transfer learning
S Magliacane, T van Ommen, T Claassen, S Bongers, P Versteeg, ...
arXiv preprint arXiv:1707.06422, 2017
Mandater: Netherlands Organisation for Scientific Research, European Commission
Causal discovery for causal bandits utilizing separating sets
AA de Kroon, D Belgrave, JM Mooij
arXiv preprint arXiv:2009.07916, 2020
Mandater: European Commission
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